Climate Policy,
Journal Year:
2017,
Volume and Issue:
18(4), P. 526 - 541
Published: May 3, 2017
This
paper
offers
a
systematic
analysis
of
the
concepts
and
contexts
that
frame
climate-smart
agriculture
(CSA)
discourse
in
academic
policy
literature.
Documents
(n
=
113)
related
to
CSA
published
peer-reviewed
journals,
books,
working
papers,
scientific
reports
from
2004
2016
were
reviewed.
Three
key
trends
emerged
analysis:
studies
are
biased
towards
global
agendas;
research
focuses
on
technical
issues;
integration
mitigation,
adaptation,
food
security
(the
three
pillars
CSA)
is
becoming
popular
scholarly
solution.
Findings
suggest
fairly
new
concept
used
describe
range
adaptation
mitigation
practices
without
specific
set
criteria.
Although
often
framed
around
pillars,
underlying
issues
constructing
differ
at
global,
developing,
developed
country
scales.
there
increasing
developing
countries,
particularly
relation
how
can
transform
smallholder
agriculture,
paucity
documenting
experiences
countries.
The
findings
needs
move
beyond
solely
focussing
approaches
only
certain
geographical
contexts.
If
be
applicable
for
farmers
across
globe,
then
cross-disciplinary
underpinned
by
broad
socio-economic
political
essential
understand
differences
narratives
might
affect
implementation
on-the-ground
both
countries.POLICY
RELEVANCEAlthough
makers
increasingly
supportive
approach,
rhetoric
has
largely
been
basis
arguments.
implications
varying
perspectives
have
resulted
growing
divide
between
countries
solutions
impacts
climate
change
under
2015
Paris
Agreement.
Different
framings
part
explanation
why
scope
being
rethought,
with
community
redirecting
attention
seeking
separate
work
programme
United
Nations
Framework
Convention
Climate
Change
(UNFCCC).
current
framing
will
give
no
direction
unless
it
grounds
itself
farmer
civil
society
BioScience,
Journal Year:
2017,
Volume and Issue:
67(4), P. 386 - 391
Published: Jan. 30, 2017
The
prevailing
discourse
on
the
future
of
agriculture
is
dominated
by
an
imbalanced
narrative
that
calls
for
food
production
to
increase
dramatically—potentially
doubling
2050—without
specifying
commensurate
environmental
goals.
We
aim
rebalance
this
laying
out
quantitative
and
compelling
midcentury
targets
both
environment.
Our
analysis
shows
approximately
25%–70%
above
current
levels
may
be
sufficient
meet
2050
crop
demand.
At
same
time,
nutrient
losses
greenhouse
gas
emissions
from
must
drop
dramatically
restore
maintain
ecosystem
functioning.
Specifying
will
clarify
scope
challenges
face
in
coming
decades,
focus
research
policy
achieving
specific
outcomes,
ensure
sustainable
intensification
efforts
lead
measurable
improvements.
propose
new
directions
help
sustainability
Science,
Journal Year:
2018,
Volume and Issue:
362(6417)
Published: Nov. 23, 2018
The
future
of
farming
In
the
mid-20th
century,
food
production
from
agriculture
sharply
increased
worldwide;
however,
this
was
achieved
through
heavy
use
agrochemicals.
Extensive
collateral
damage
excessive
pesticides,
herbicides,
and
fertilizers
has
occurred
to
wider
environment.
This
led
biodiversity
loss,
pesticide
resistance
emergence
new
pests,
pollution
decline
freshwater
supplies,
soil
degradation
erosion,
as
well
direct
harm
health.
a
Review,
Pretty
examines
alternative
approaches
that
can
achieve
sustainable
intensification
systems
by
integrating
pest
management
with
agroecological
minimize
costs,
maximize
yields,
restore
ecosystem
services,
ensure
environmental
enhancement.
Science
,
issue
p.
eaav0294
Remote Sensing of Environment,
Journal Year:
2018,
Volume and Issue:
220, P. 135 - 151
Published: Nov. 6, 2018
Many
applications
that
target
dynamic
land
surface
processes
require
a
temporal
observation
frequency
is
not
easily
satisfied
using
data
from
single
optical
sensor.
Sentinel-2
and
Landsat
provide
observations
of
similar
nature
offer
the
opportunity
to
combine
both
sources
increase
time-series
at
high
spatial
resolution.
Multi-sensor
image
compositing
one
way
for
performing
pixel-level
integration
has
many
advantages
processing
frameworks,
especially
if
analyses
over
larger
areas
are
targeted.
Our
approach
optimized
narrow
temporal-intervals
allows
derivation
consistent
reflectance
composites
capture
field
level
phenologies.
We
processed
more
than
year's
worth
imagery
acquired
by
Sentinel-2A
MSI
Landsat-8
OLI
as
available
NASA
Harmonized
Landsat-Sentinel
dataset.
used
all
Germany
integrated
into
three
defined
intervals
(10-day,
monthly
seasonal).
includes
generation
proxy
values
in
red
edge
bands
gap
filling
on
10-day
time-series.
then
derive
national
scale
crop
type
cover
map
compare
our
results
spatially
explicit
agricultural
reference
federal
states
recent
census
entire
country.
The
resulting
successfully
captures
distribution
across
30
m
resolution
achieves
81%
overall
accuracy
12
classes
which
was
available.
mapping
performance
most
highest
discriminated
with
class
specific
accuracies
>80%.
For
several
crops,
such
cereals,
maize
rapeseed
mapped
acreages
very
well
official
average
differences
between
area
11%,
2%
3%,
respectively.
Other
(grapevine
forest
classes)
perform
slightly
less
well,
likely,
because
does
fully
variability
these
Germany.
inclusion
improved
cases
classes.
Similarly,
procedure
led
when
compared
nongap-filled
features.
Overall,
demonstrate
valuable
potential
approaches
utilize
detailed
assessments
other
land-uses
large
areas.
